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Titlebook: Information Technology in Bio- and Medical Informatics; Third International Christian B?hm,Sami Khuri,M. Elena Renda Conference proceeding

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樓主: Jefferson
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發(fā)表于 2025-3-25 04:45:21 | 只看該作者
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發(fā)表于 2025-3-25 08:57:15 | 只看該作者
An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysism Optimization (PSO) and Formal Concept Analysis (FCA). In the proposed algorithm, the available microarray experiments are initially divided into groups of related datasets with respect to a predefined criterion. Subsequently, a hybrid clustering algorithm, based on PSO and k-means clustering, is a
23#
發(fā)表于 2025-3-25 12:40:11 | 只看該作者
Link Prediction Approaches for Disease Networks link prediction models to a very challenging scenario: predicting the onset of future diseases on the base of the current health status of patients. To this purpose, a comorbidity network where nodes are the diseases and edges represent the contemporarily presence of two illnesses in a patient, is
24#
發(fā)表于 2025-3-25 19:04:38 | 只看該作者
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Datering the discovery of new biological data and the proliferation of a large number of bio-technological databases. In this paper we describe a framework for enabling the interoperability among different biological data sources and for ultimately supporting expert users in the complex process of ext
25#
發(fā)表于 2025-3-25 23:49:47 | 只看該作者
Argumentation to Represent and Reason over Biological Systemsand analyse the wealth of information that is now being created in biology, where issues concerning consistency arise. As well, the information offers novel methods to explain and explore biological phenomena. To represent and reason with inconsistency as well as provide explanation, we represent a
26#
發(fā)表于 2025-3-26 03:23:52 | 只看該作者
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發(fā)表于 2025-3-26 04:29:44 | 只看該作者
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發(fā)表于 2025-3-26 12:07:17 | 只看該作者
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發(fā)表于 2025-3-26 16:31:36 | 只看該作者
30#
發(fā)表于 2025-3-26 18:04:47 | 只看該作者
Patient Monitoring Using Bioimpedance Signal bioimpedance is a non-invasive method providing the information about the body composition, hearth rate, blood flow, breathing etc..The design and realization of a simple four electrode system have been done. The device is designed as a combination of a signal generator with stabilized current outp
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